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头部交易所 base 新加坡 Chatbot 数据科学家（LLM）（有 EP）及 持牌新加坡金融支付公司 base 北京或杭州 AI Engineer（AI agent）
sophiayao · 7 天前 · 256 次点击1 Chatbot 数据科学家（ LLM ）
有 LLM 大模型经验，有 chatbot 产品经验
base 新加坡，有 EP
2 AI Engineer （ AI agent ）
base 北京或杭州
Key Responsibilities
AI & Agent System Architecture
• Design and deploy end-to-end AI agent frameworks across MetaComp’s product and operational stack.
• Build systems including autonomous agents, retrievers, action-based agents, RAG, orchestration, and API integrations.
• Architect scalable pipelines for:
• real-time payment validation
• compliance checks (AML/KYC/KYB)
• client workflow automation
• operational intelligence
• customer service and onboarding
Development & Technical Execution
• Evaluate and integrate LLMs, vector databases, and retrieval systems.
• Build internal tooling, microservices and interfaces that integrate with business infrastructure.
• Design agentic workflows to reduce manual work and enhance decision-making.
• Evaluate model performance, hallucination safeguards, and accuracy frameworks.
Qualifications
Must-Have
• 2-3+ years experience in AI, ML Engineering, LLM engineering, or AI system design.
• Proven experience designing agent-based architectures (LangChain, CrewAI, LlamaIndex, OpenAI model ecosystem etc.).
• Hands-on engineering experience in Python, microservices and API integration.
• Strong knowledge of prompt engineering, retrieval systems, grounding and data pipelines.
有意向或者对新加坡别的职位感兴趣 可以联系 wx：sophia_liu611
有 LLM 大模型经验，有 chatbot 产品经验
base 新加坡，有 EP
2 AI Engineer （ AI agent ）
base 北京或杭州
Key Responsibilities
AI & Agent System Architecture
• Design and deploy end-to-end AI agent frameworks across MetaComp’s product and operational stack.
• Build systems including autonomous agents, retrievers, action-based agents, RAG, orchestration, and API integrations.
• Architect scalable pipelines for:
• real-time payment validation
• compliance checks (AML/KYC/KYB)
• client workflow automation
• operational intelligence
• customer service and onboarding
Development & Technical Execution
• Evaluate and integrate LLMs, vector databases, and retrieval systems.
• Build internal tooling, microservices and interfaces that integrate with business infrastructure.
• Design agentic workflows to reduce manual work and enhance decision-making.
• Evaluate model performance, hallucination safeguards, and accuracy frameworks.
Qualifications
Must-Have
• 2-3+ years experience in AI, ML Engineering, LLM engineering, or AI system design.
• Proven experience designing agent-based architectures (LangChain, CrewAI, LlamaIndex, OpenAI model ecosystem etc.).
• Hands-on engineering experience in Python, microservices and API integration.
• Strong knowledge of prompt engineering, retrieval systems, grounding and data pipelines.
有意向或者对新加坡别的职位感兴趣 可以联系 wx：sophia_liu611
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